Ruoyun He , Guojun Chen , Shuyang Zhang , Ting Su , Haode Liu
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引用次数: 0
Abstract
Personality traits serve as robust predictors of unsafe driving behavior, yet Big Five-based evidence shows constantly divergent outcomes, including domain-level contradictions (opposed correlation directions) and inconsistencies (unstable effect sizes), particularly in extraversion and openness. To address these discrepancies, we propose two hypotheses: facet heterogeneity in domains, wherein constituent facets within a domain diverge in behavioral associations, and facet preferences across inventories, as differential facet operationalization in personality scales systematically amplifies domain-level discrepancies. Employing the Chinese version of the Revised NEO Personality Inventory (NEO-PI-R) to assess 1,398 Chinese bus drivers, we analyzed personality domains/facets against unsafe driving behavior through recorded violations cataloged under the DBQ paradigm. The research results demonstrate that facet-level heterogeneity is pervasive across all personality domains and is identified as a key factor contributing to contradictions in extraversion and openness, and inconsistencies in neuroticism, agreeableness, and conscientiousness. Moreover, scale preferences, particularly the inclusion of behaviorally irrelevant or contradictory facets, exacerbate contradictions and inconsistencies across studies. Therefore, the 44-item Big Five Inventory is recommended as the psychometrically optimized instrument for driver personality assessment, as its facet-composition framework eliminates contradictions in neuroticism, agreeableness, and conscientiousness, while mitigating contradictions in extraversion and openness.
人格特质是不安全驾驶行为的可靠预测因素,但基于大五的证据显示,结果不断分化,包括领域层面的矛盾(相反的相关方向)和不一致(不稳定的效应大小),尤其是外向性和开放性。为了解决这些差异,我们提出了两个假设:领域中的方面异质性,其中领域内的组成方面在行为关联中存在分歧;以及跨清单的方面偏好,因为人格量表中的差异方面操作化系统地放大了领域水平的差异。采用中文版的NEO- pi - r (NEO- pi - r)对1398名中国公交车司机进行评估,通过DBQ范式下记录的违规行为,分析了不安全驾驶行为的人格域/方面。研究结果表明,各方面的异质性普遍存在于所有人格领域,并被认为是导致外向性和开放性矛盾以及神经质、宜人性和尽责性不一致的关键因素。此外,尺度偏好,特别是包括行为无关或矛盾的方面,加剧了研究之间的矛盾和不一致。因此,建议将44项大五人格量表作为司机人格评估的心理测量优化工具,因为其面-成分框架消除了神经质、随和性和尽责性的矛盾,同时减轻了外向性和开放性的矛盾。
期刊介绍:
Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.